Binary to IEEE 754 Floating Point Converter

Binary to IEEE 754 Floating Point Converter

Binary to IEEE 754 Floating Point Converter

The Binary to IEEE 754 Floating Point Converter is a free online tool that allows users to convert binary numbers to their corresponding IEEE 754 floating-point representations. This tool supports both 32-bit and 64-bit floating-point formats and is useful for developers, engineers, and students working with binary data and floating-point arithmetic. With its user-friendly interface and accurate conversion algorithms, this tool is an essential resource for anyone working with binary and IEEE 754 floating-point numbers.

Enter a binary number (e.g. 1010)
The converted IEEE 754 floating point number will be displayed here.

How it Works

The Binary to IEEE 754 Floating Point Converter uses the following formula to convert binary numbers to their corresponding IEEE 754 floating-point representations:

Sign bit (1 bit) + Exponent bits (8 bits for 32-bit, 11 bits for 64-bit) + Mantissa bits (23 bits for 32-bit, 52 bits for 64-bit)

The exponent is calculated as follows: Exponent = (Exponent bits) - (Bias), where the bias is 127 for 32-bit and 1023 for 64-bit.

The mantissa is calculated as follows: Mantissa = 1 + (Mantissa bits) / (2 ^ Mantissa bits length)

Finally, the result is calculated as follows: Result = Sign bit * (2 ^ Exponent) * Mantissa

Binary Input IEEE 754 Floating Point Output
0 10000000 00000000000000000000000 1.0
0 10000000 00000000000000000000001 1.00000011920928955078125
0 10000000 00000000000000000000100 1.0000002384185791015625

Use Cases

  • Converting binary data from sensors or other devices to IEEE 754 floating-point format for processing and analysis.
  • Verifying the correctness of binary to IEEE 754 floating-point conversions in software or hardware implementations.
  • Generating test cases for binary to IEEE 754 floating-point conversion algorithms.
  • Converting binary numbers to IEEE 754 floating-point format for use in mathematical models or simulations.
  • Analyzing the effects of rounding errors in binary to IEEE 754 floating-point conversions.
  • Developing and testing binary to IEEE 754 floating-point conversion algorithms for embedded systems or other resource-constrained environments.
  • Converting binary data from databases or files to IEEE 754 floating-point format for use in data analysis or machine learning applications.
  • Creating test vectors for binary to IEEE 754 floating-point conversion algorithms.
  • Investigating the properties and behavior of binary to IEEE 754 floating-point conversions.
  • Optimizing binary to IEEE 754 floating-point conversion algorithms for performance or power consumption.
Categories:
post, binary converter, ieee 754, floating point, binary to decimal, online converter,